Data Science with Machine Learning Course at ATB TECH HUB

Unleash the power of data with our comprehensive Data Science with Machine Learning course at ATB TECH HUB. This program equips participants with cutting-edge skills to navigate the evolving field of data science and machine learning. The syllabus is thoughtfully designed to cover foundational concepts, advanced techniques, and practical applications.

Course Overview:

Module 1: Introduction to Data Science 

• Understand the role of data science in decision-making.
• Exploratory Data Analysis (EDA) techniques.
• Introduction to data visualization tools.

Module 2: Statistical Analysis and Inference 

• Learn statistical methods for data analysis.
• Hypothesis testing and confidence intervals.
• Application of statistical concepts in real-world scenarios.

Module 3: Machine Learning Fundamentals 

• Overview of machine learning algorithms.
• Supervised and unsupervised learning techniques.
• Model evaluation and validation.

Module 4: Advanced Machine Learning 

• Deep dive into advanced algorithms (e.g., Random Forest, Gradient Boosting).
• Hyperparameter tuning for model optimization.
• Feature engineering and selection strategies.

Module 5: Big Data and Distributed Computing 

• Introduction to big data technologies (e.g., Apache Spark).
• Handling large datasets efficiently.
• Scalable machine learning on distributed systems.

Module 6: Practical Applications and Capstone Project 

• Apply learned concepts to real-world projects.
• Collaboration on a machine learning capstone project.
• Presentation and evaluation of capstone projects.

Teaching Methodology:

• Instructor-Led Sessions: Engaging lectures by experienced data scientists.
• Hands-On Labs: Practical sessions using industry-relevant tools.
• Project-Based Learning: Application of concepts through real-world projects.
• Guest Lectures: Insights from industry experts in data science and machine learning.

Evaluation and Certification:

• Continuous assessment through quizzes, assignments, and project milestones.
• Capstone project evaluation by industry professionals.
• Certification upon successful completion, acknowledging proficiency in data science and machine learning.

Prerequisites:

• Basic understanding of programming (Python preferred).
• Familiarity with fundamental statistics concepts.
• Enthusiasm for exploring and analyzing data.

Embark on a transformative journey into the world of data science and machine learning at ATB TECH HUB. Equip yourself with the skills demanded by industry, and shape a future where data-driven insights drive innovation.